{"id":20271,"date":"2025-04-25T10:58:57","date_gmt":"2025-04-25T10:58:57","guid":{"rendered":"https:\/\/scannn.com\/space-llama-metas-open-source-ai-model-is-heading-into-orbit\/"},"modified":"2025-04-25T10:58:57","modified_gmt":"2025-04-25T10:58:57","slug":"space-llama-metas-open-source-ai-model-is-heading-into-orbit","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/space-llama-metas-open-source-ai-model-is-heading-into-orbit\/","title":{"rendered":"Space Llama: Meta\u2019s Open Source AI Model is Heading Into Orbit"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p><span style=\"font-weight: 400\">Our open source AI model, Llama, is going to space. In a standout case of American innovation, <\/span><a href=\"https:\/\/www.boozallen.com\/menu\/media-center\/q1-2026\/booz-allen-and-meta-space-llama.html\"><span style=\"font-weight: 400\">Booz Allen<\/span><\/a><span style=\"font-weight: 400\"> has collaborated with Meta to deploy a fine-tuned version of Llama 3.2 aboard the International Space Station (ISS) National Laboratory, where astronauts in low orbit conduct scientific research not possible on Earth.<\/span><\/p>\n<h2>Why Llama?<\/h2>\n<p><span style=\"font-weight: 400\">As an open source platform, Llama offers greater flexibility and can be downloaded and then deployed on machines without internet access<\/span><span style=\"font-weight: 400\">.<\/span><span style=\"font-weight: 400\"> There\u2019s no need to transfer data through an AI company for processing \u2013 helping to secure this highly sensitive environment \u2013 or even connect to computers on Earth, which is important since the internet is unavailable on the ISS.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Additionally, Llama\u2019s lower costs and adaptability, made possible by its publicly available \u201cmodel weights\u201d (the numerical values that determine how Llama makes decisions), are helpful in a setting like the ISS\u2019s National Laboratory, where researchers must be able to respond to new conditions quickly and keep projects on budget.<\/span><\/p>\n<h2>Transforming Research Processes with Llama<\/h2>\n<p><span style=\"font-weight: 400\">The tech stack used for Space Llama brings together Booz Allen\u2019s own A2E2\u2122<\/span><span style=\"font-weight: 400\">\u00a0(AI for Edge Environments), Hewlett Packard Enterprise\u2019s (HPE) Spaceborne Computer-2, NVIDIA accelerated computing, enabling powerful AI to operate directly on the ISS, and Meta\u2019s Llama vision AI capabilities. Using a compact, energy-efficient system similar to those used in satellites, the team sped up AI tasks from minutes to just over a second using models\u00a0 fine-tuned with<\/span><a href=\"https:\/\/developer.nvidia.com\/cuda-toolkit\"><span style=\"font-weight: 400\"> NVIDIA CUDA<\/span><\/a><span style=\"font-weight: 400\"> software and its acceleration libraries, including<\/span><a href=\"https:\/\/developer.nvidia.com\/cudnn\"><span style=\"font-weight: 400\"> cuDNN<\/span><\/a><span style=\"font-weight: 400\"> and<\/span><a href=\"https:\/\/developer.nvidia.com\/cublas\"><span style=\"font-weight: 400\"> cuBLAS<\/span><\/a><span style=\"font-weight: 400\">. As a result of this tech stack, which is believed to be the first of its kind used beyond Earth, astronauts will be able to harness the advantages of digital technologies for research, fast decision-making and agile data access without having to manage the risk of losing connectivity.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Space Llama will include both generative and multimodal AI \u2013 in other words, AI that can generate content based on prompts and AI that can process multiple types of data, including textual, visual and auditory. For example, Space Llama can be used to help researchers\u00a0 easily retrieve information from crucial technical reference documents and instructions, no internet needed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Space Llama builds on Booz Allen\u2019s successful deployment and operation of a generative AI large language model (LLM) in space using HPE\u2019s Spaceborne Computer-2 on the ISS in August 2024. In November 2024, we announced that our open source Llama models would be made available to US government agencies and private sector partners, making Space Llama possible.\u00a0<\/span><\/p>\n<p class=\"p1\">\u201cSpace innovation has been limited historically due to reliance on Earth-based connectivity for compute and communications capabilities. Space Llama brings tools directly to the edge of space to quickly conduct critical repairs and maintain the ISS National Lab \u2013 propelling us towards a future of space-based science, discovery and the ability to operate at the farthest mission edge \u2013 space,\u201d said Bill Vass, chief technology officer at Booz Allen.<\/p>\n<p><span style=\"font-weight: 400\">Space Llama will be deployed in part to address the unique challenges of conducting scientific research in the largest structure human beings have ever put in space. This initiative is set to support the ISS National Laboratory\u2019s researchers in a wide range of scientific projects and represents a critical step for lunar and Mars exploration, enablement of modern satellite and drone capabilities, and the next generation of autonomous systems.<\/span><\/p>\n<h2>Open Source AI is Essential for Advancing America\u2019s Interests<\/h2>\n<p><span style=\"font-weight: 400\">Meta\u2019s partnership with Booz Allen shows how essential open source AI is to sharpening the U.S.\u2019s competitive edge. AI that\u2019s powerful and durable in outer space, perhaps the most extreme environment imaginable, is ready to help lead the way forward in technological transformations here on Earth.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This moment is just the beginning of Space Llama. We envision a future where open source models like Llama play a vital role in space exploration and research, working \u201chand in hand\u201d with astronauts as they solve complex scientific problems and help advance innovation for all.\u00a0<\/span><\/p>\n<\/p><\/div>\n<p><script async defer crossorigin=\"anonymous\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#xfbml=1&#038;version=v5.0\"><\/script><br \/>\n<br \/><br \/>\n<br \/><a href=\"https:\/\/about.fb.com\/news\/2025\/04\/space-llama-metas-open-source-ai-model-heading-into-orbit\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our open source AI model, Llama, is going to space. In a standout case of American innovation, Booz Allen has collaborated with Meta to deploy a fine-tuned version of Llama 3.2 aboard the International Space Station (ISS) National Laboratory, where astronauts in low orbit conduct scientific research not possible on Earth. Why Llama? As an [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":20272,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[123],"tags":[],"class_list":["post-20271","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-facebook"],"_links":{"self":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/20271","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/comments?post=20271"}],"version-history":[{"count":0,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/20271\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media\/20272"}],"wp:attachment":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media?parent=20271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/categories?post=20271"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/tags?post=20271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}